This
streaming portal is dedicated to scientists from the community of qPCR,
digital PCR, Next Generation Sequencing (NGS), MicroGenomics (MG) and
Molecular Diagnostics (MDx). You’ll find here all the records from
around 280 presentations held at qPCR & NGS and MG Events in the
past years – qPCR 2010 in Vienna, qPCR 2011, qPCR & NGS 2013 and
qPCR & NGS 2015 in Freising-Weihenstephan, and MicroGenomics 2014
in Paris.

We provide the presentations via movie streaming technology in high
quality – high resolution and perfect sound quality in high speed – on
any internet browser or mobile device, including Android or iOS.

General
problem
The choice of suitable reference genes is absolutely crucial in RT-qPCR
gene expression analysis. Often, genes from commercial panels don't
work well for one's own biological context. Ideally, the expression of
reference genes should remain unchanged across samples within the
context under study.

SolutionRefGenes is an online app from Genevestigator that
allows users to search for genes that are most stable across a chosen
set of samples based on microarray data. This set of samples can be
chosen according to experimental conditions or tissue types. For
example, if you are performing a RT-qPCR experiment on mouse liver
samples, you can use RefGenes to identify the set of genes that are
most stable across all microarrays done on mouse liver in
Genevestigator. This method offers two major improvements over existing
methods because a) it does not narrow down from a small set of genes
(e.g. commercial housekeeping gene panels), but looks for novel
candidates from a genome-wide set of genes b) it is based on
condition-specific stability. The below schema shows how RefGenes can
be used in combination with existing approaches to yield valuable
reference genes for specific experimental conditions.